Comparing Original Dataset and Oversampled Dataset

Dataset statistics

	Original Dataset	Oversampled Dataset
Number of variables	9	9
Number of observations	211	995
Missing cells	0	0
Missing cells (%)	0.0%	0.0%
Duplicate rows	0	199
Duplicate rows (%)	0.0%	20.0%
Total size in memory	24.6 KiB	77.7 KiB
Average record size in memory	119.3 B	80.0 B

Variable types

	Original Dataset	Oversampled Dataset
Categorical	4	4
Numeric	5	5

Alerts

Original Dataset	Oversampled Dataset
`time` is highly overall correlated with `distance`	Alert not present in	High Correlation
`velocity` is highly overall correlated with `distance`	Alert not present in	High Correlation
`line_width` is highly overall correlated with `roughness`	Alert not present in	High Correlation
`roughness` is highly overall correlated with `line_width`	Alert not present in	High Correlation
`distance` is highly overall correlated with `time` and 1 other fields	Alert not present in	High Correlation
`ink_visco_cp` is highly overall correlated with `surface_tension_dyne_cm` and 1 other fields	Alert not present in	High Correlation
`surface_tension_dyne_cm` is highly overall correlated with `ink_visco_cp` and 1 other fields	Alert not present in	High Correlation
`ink _density` is highly overall correlated with `ink_visco_cp` and 1 other fields	Alert not present in	High Correlation
`overspray` has 8 (3.8%) zeros	`overspray` has 25 (2.5%) zeros	Zeros
Alert not present in	Dataset has 199 (20.0%) duplicate rows	Duplicates
Alert not present in	`distance` has a high cardinality: 77 distinct values	High Cardinality
Alert not present in	`ink_visco_cp` has a high cardinality: 179 distinct values	High Cardinality
Alert not present in	`surface_tension_dyne_cm` has a high cardinality: 179 distinct values	High Cardinality
Alert not present in	`ink _density` has a high cardinality: 74 distinct values	High Cardinality
Alert not present in	`distance` is highly imbalanced (67.5%)	Imbalance
Alert not present in	`ink_visco_cp` is highly imbalanced (64.6%)	Imbalance
Alert not present in	`surface_tension_dyne_cm` is highly imbalanced (64.6%)	Imbalance
Alert not present in	`ink _density` is highly imbalanced (63.7%)	Imbalance

Reproduction

	Original Dataset	Oversampled Dataset
Analysis started	2023-04-13 11:53:06.807570	2023-04-13 11:53:10.837813
Analysis finished	2023-04-13 11:53:10.819533	2023-04-13 11:53:14.947898
Duration	4.01 seconds	4.11 seconds
Software version	ydata-profiling vv4.1.2	ydata-profiling vv4.1.2
Download configuration	config.json	config.json

distance
Categorical

	Original Dataset	Oversampled Dataset
Distinct	3	77
Distinct (%)	1.4%	7.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

900	160
300	49
270	2

900	682
300	175
270	7
296	6
903	4
Other values (72)	121

Length

	Original Dataset	Oversampled Dataset
Max length	3	3
Median length	3	3
Mean length	3	3
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	633	2985
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	41 ?
Unique (%)	0.0%	4.1%

Sample

	Original Dataset	Oversampled Dataset
1st row	270	900
2nd row	270	900
3rd row	300	900
4th row	300	900
5th row	300	900

Common Values

Value	Count	Frequency (%)
900	160	75.8%
300	49	23.2%
270	2	0.9%

Value	Count	Frequency (%)
900	682	68.5%
300	175	17.6%
270	7	0.7%
296	6	0.6%
903	4	0.4%
891	4	0.4%
289	4	0.4%
896	4	0.4%
908	3	0.3%
292	3	0.3%
Other values (67)	103	10.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
900	160	75.8%
300	49	23.2%
270	2	0.9%

Value	Count	Frequency (%)
900	682	68.5%
300	175	17.6%
270	7	0.7%
296	6	0.6%
903	4	0.4%
891	4	0.4%
289	4	0.4%
896	4	0.4%
293	3	0.3%
285	3	0.3%
Other values (67)	103	10.4%

Most occurring characters

Value	Count	Frequency (%)
0	420	66.4%
9	160	25.3%
3	49	7.7%
2	2	0.3%
7	2	0.3%

Value	Count	Frequency (%)
0	1746	58.5%
9	772	25.9%
3	198	6.6%
8	79	2.6%
2	74	2.5%
7	37	1.2%
1	27	0.9%
6	18	0.6%
5	17	0.6%
4	17	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	633	100.0%

Value	Count	Frequency (%)
Decimal Number	2985	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	420	66.4%
9	160	25.3%
3	49	7.7%
2	2	0.3%
7	2	0.3%

Value	Count	Frequency (%)
0	1746	58.5%
9	772	25.9%
3	198	6.6%
8	79	2.6%
2	74	2.5%
7	37	1.2%
1	27	0.9%
6	18	0.6%
5	17	0.6%
4	17	0.6%

Most occurring scripts

Value	Count	Frequency (%)
Common	633	100.0%

Value	Count	Frequency (%)
Common	2985	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	420	66.4%
9	160	25.3%
3	49	7.7%
2	2	0.3%
7	2	0.3%

Value	Count	Frequency (%)
0	1746	58.5%
9	772	25.9%
3	198	6.6%
8	79	2.6%
2	74	2.5%
7	37	1.2%
1	27	0.9%
6	18	0.6%
5	17	0.6%
4	17	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	633	100.0%

Value	Count	Frequency (%)
ASCII	2985	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	420	66.4%
9	160	25.3%
3	49	7.7%
2	2	0.3%
7	2	0.3%

Value	Count	Frequency (%)
0	1746	58.5%
9	772	25.9%
3	198	6.6%
8	79	2.6%
2	74	2.5%
7	37	1.2%
1	27	0.9%
6	18	0.6%
5	17	0.6%
4	17	0.6%

time
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	66	487
Distinct (%)	31.3%	48.9%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	71.094787	69.952552

	Original Dataset	Oversampled Dataset
Minimum	31	31
Maximum	130	130
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	31	31
5-th percentile	34.5	34
Q1	58.5	59
median	69	69
Q3	87	85
95-th percentile	110	107.28101
Maximum	130	130
Range	99	99
Interquartile range (IQR)	28.5	26

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	23.715788	22.709692
Coefficient of variation (CV)	0.33357984	0.32464423
Kurtosis	-0.66289849	-0.60357679
Mean	71.094787	69.952552
Median Absolute Deviation (MAD)	18	15
Skewness	0.18682582	0.072098422
Sum	15001	69602.79
Variance	562.43859	515.73012
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
44	10	4.7%
78	10	4.7%
66	10	4.7%
38	8	3.8%
96	8	3.8%
63	7	3.3%
61	7	3.3%
107	6	2.8%
64	6	2.8%
34	5	2.4%
Other values (56)	134	63.5%

Value	Count	Frequency (%)
78	31	3.1%
66	26	2.6%
61	26	2.6%
44	25	2.5%
38	22	2.2%
63	19	1.9%
96	19	1.9%
34	18	1.8%
107	16	1.6%
64	15	1.5%
Other values (477)	778	78.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
31	2	0.9%
32	4	1.9%
34	5	2.4%
35	1	0.5%
36	2	0.9%
37	2	0.9%
38	8	3.8%
39	1	0.5%
40	4	1.9%
41	2	0.9%

Value	Count	Frequency (%)
31	5	0.5%
31.02710795	1	0.1%
31.26988438	1	0.1%
31.37545946	1	0.1%
31.62190161	1	0.1%
31.67947121	1	0.1%
31.85518675	1	0.1%
31.99237295	1	0.1%
32	11	1.1%
32.15991961	1	0.1%

Value	Count	Frequency (%)
31	5	2.4%
31.02710795	1	0.5%
31.26988438	1	0.5%
31.37545946	1	0.5%
31.62190161	1	0.5%
31.67947121	1	0.5%
31.85518675	1	0.5%
31.99237295	1	0.5%
32	11	5.2%
32.15991961	1	0.5%

Value	Count	Frequency (%)
31	2	0.2%
32	4	0.4%
34	5	0.5%
35	1	0.1%
36	2	0.2%
37	2	0.2%
38	8	0.8%
39	1	0.1%
40	4	0.4%
41	2	0.2%

velocity
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	77	504
Distinct (%)	36.5%	50.7%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	10.632852	10.78691

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.5102958
Maximum	15.517241	15.517241
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	6.667	6.5102958
5-th percentile	6.818	6.8679363
Q1	8.3333333	8.4530805
median	10.345	10.737438
Q3	13.043	13.065442
95-th percentile	14.877049	14.754
Maximum	15.517241	15.517241
Range	8.8502414	9.0069456
Interquartile range (IQR)	4.7096667	4.6123611

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	2.6445634	2.5054963
Coefficient of variation (CV)	0.24871629	0.23227192
Kurtosis	-1.2476413	-1.2319851
Mean	10.632852	10.78691
Median Absolute Deviation (MAD)	2.331	2.3055619
Skewness	0.18283275	0.060440436
Sum	2243.5317	10732.975
Variance	6.9937154	6.2775116
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9.375	12	5.7%
6.818	10	4.7%
11.538	10	4.7%
13.636	7	3.3%
7.895	6	2.8%
14.754	6	2.8%
6.667	5	2.4%
12.329	5	2.4%
15	5	2.4%
8.411214953	5	2.4%
Other values (67)	140	66.4%

Value	Count	Frequency (%)
11.538	31	3.1%
9.375	30	3.0%
6.818	25	2.5%
14.754	23	2.3%
13.636	17	1.7%
8.411214953	15	1.5%
13.043	15	1.5%
7.895	15	1.5%
12.329	14	1.4%
6.667	13	1.3%
Other values (494)	797	80.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
6.667	5	2.4%
6.818	10	4.7%
6.923	2	0.9%
6.976744186	1	0.5%
6.977	2	0.9%
7.142857143	1	0.5%
7.143	2	0.9%
7.317	1	0.5%
7.317073171	1	0.5%
7.5	4	1.9%

Value	Count	Frequency (%)
6.510295828	1	0.1%
6.64540761	1	0.1%
6.667	13	1.3%
6.670616053	1	0.1%
6.691182871	1	0.1%
6.706289042	1	0.1%
6.724935982	1	0.1%
6.744845747	1	0.1%
6.78493778	1	0.1%
6.788839617	1	0.1%

Value	Count	Frequency (%)
6.510295828	1	0.5%
6.64540761	1	0.5%
6.667	13	6.2%
6.670616053	1	0.5%
6.691182871	1	0.5%
6.706289042	1	0.5%
6.724935982	1	0.5%
6.744845747	1	0.5%
6.78493778	1	0.5%
6.788839617	1	0.5%

Value	Count	Frequency (%)
6.667	5	0.5%
6.818	10	1.0%
6.923	2	0.2%
6.976744186	1	0.1%
6.977	2	0.2%
7.142857143	1	0.1%
7.143	2	0.2%
7.317	1	0.1%
7.317073171	1	0.1%
7.5	4	0.4%

ink_visco_cp
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	179
Distinct (%)	0.9%	18.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

6.9	160
6.3	51

6.9	625
6.3	193
6.839189173500493	1
6.8893453954216	1
6.891526133923265	1
Other values (174)	174

Length

	Original Dataset	Oversampled Dataset
Max length	3	18
Median length	3	3
Mean length	3	5.4884422
Min length	3	3

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	633	5461
Distinct characters	4	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	177 ?
Unique (%)	0.0%	17.8%

Sample

	Original Dataset	Oversampled Dataset
1st row	6.3	6.9
2nd row	6.3	6.9
3rd row	6.3	6.9
4th row	6.3	6.9
5th row	6.3	6.9

Common Values

Value	Count	Frequency (%)
6.9	160	75.8%
6.3	51	24.2%

Value	Count	Frequency (%)
6.9	625	62.8%
6.3	193	19.4%
6.839189173500493	1	0.1%
6.8893453954216	1	0.1%
6.891526133923265	1	0.1%
6.484134596369307	1	0.1%
6.904118415801134	1	0.1%
6.713278084029549	1	0.1%
6.8957135588350456	1	0.1%
6.550383574072519	1	0.1%
Other values (169)	169	17.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
6.9	160	75.8%
6.3	51	24.2%

Value	Count	Frequency (%)
6.9	625	62.8%
6.3	193	19.4%
6.907044739318165	1	0.1%
6.932477700523756	1	0.1%
6.260091748057529	1	0.1%
6.279048619135105	1	0.1%
6.876993977114789	1	0.1%
6.90381849216281	1	0.1%
6.897399167525844	1	0.1%
6.924797493021141	1	0.1%
Other values (169)	169	17.0%

Most occurring characters

Value	Count	Frequency (%)
6	211	33.3%
.	211	33.3%
9	160	25.3%
3	51	8.1%

Value	Count	Frequency (%)
6	1221	22.4%
.	995	18.2%
9	920	16.8%
3	484	8.9%
8	296	5.4%
1	269	4.9%
2	262	4.8%
4	260	4.8%
5	255	4.7%
7	253	4.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	422	66.7%
Other Punctuation	211	33.3%

Value	Count	Frequency (%)
Decimal Number	4466	81.8%
Other Punctuation	995	18.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
6	211	50.0%
9	160	37.9%
3	51	12.1%

Value	Count	Frequency (%)
6	1221	27.3%
9	920	20.6%
3	484	10.8%
8	296	6.6%
1	269	6.0%
2	262	5.9%
4	260	5.8%
5	255	5.7%
7	253	5.7%
0	246	5.5%

Other Punctuation

Value	Count	Frequency (%)
.	211	100.0%

Value	Count	Frequency (%)
.	995	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	633	100.0%

Value	Count	Frequency (%)
Common	5461	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
6	211	33.3%
.	211	33.3%
9	160	25.3%
3	51	8.1%

Value	Count	Frequency (%)
6	1221	22.4%
.	995	18.2%
9	920	16.8%
3	484	8.9%
8	296	5.4%
1	269	4.9%
2	262	4.8%
4	260	4.8%
5	255	4.7%
7	253	4.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	633	100.0%

Value	Count	Frequency (%)
ASCII	5461	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
6	211	33.3%
.	211	33.3%
9	160	25.3%
3	51	8.1%

Value	Count	Frequency (%)
6	1221	22.4%
.	995	18.2%
9	920	16.8%
3	484	8.9%
8	296	5.4%
1	269	4.9%
2	262	4.8%
4	260	4.8%
5	255	4.7%
7	253	4.6%

surface_tension_dyne_cm
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	179
Distinct (%)	0.9%	18.0%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

32.3	160
30.9	51

32.3	625
30.9	193
32.15810807150115	1
32.253758967508595	1
32.32647772730582	1
Other values (174)	174

Length

	Original Dataset	Oversampled Dataset
Max length	4	18
Median length	4	4
Mean length	4	6.3839196
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	844	6352
Distinct characters	5	11
Distinct categories	2	2 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	177 ?
Unique (%)	0.0%	17.8%

Sample

	Original Dataset	Oversampled Dataset
1st row	30.9	32.3
2nd row	30.9	32.3
3rd row	30.9	32.3
4th row	30.9	32.3
5th row	30.9	32.3

Common Values

Value	Count	Frequency (%)
32.3	160	75.8%
30.9	51	24.2%

Value	Count	Frequency (%)
32.3	625	62.8%
30.9	193	19.4%
32.15810807150115	1	0.1%
32.253758967508595	1	0.1%
32.32647772730582	1	0.1%
31.32964739152838	1	0.1%
32.31091674299361	1	0.1%
31.86431552940228	1	0.1%
32.26350845706199	1	0.1%
31.484228339502543	1	0.1%
Other values (169)	169	17.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
32.3	160	75.8%
30.9	51	24.2%

Value	Count	Frequency (%)
32.3	625	62.8%
30.9	193	19.4%
32.36619546806442	1	0.1%
32.22766307477402	1	0.1%
30.91146251152118	1	0.1%
30.911189380029512	1	0.1%
32.30851076097337	1	0.1%
32.27274201636798	1	0.1%
32.3026181025658	1	0.1%
32.308301024451346	1	0.1%
Other values (169)	169	17.0%

Most occurring characters

Value	Count	Frequency (%)
3	371	44.0%
.	211	25.0%
2	160	19.0%
0	51	6.0%
9	51	6.0%

Value	Count	Frequency (%)
3	1906	30.0%
2	1005	15.8%
.	995	15.7%
0	469	7.4%
9	448	7.1%
1	278	4.4%
8	278	4.4%
6	256	4.0%
5	245	3.9%
7	238	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	633	75.0%
Other Punctuation	211	25.0%

Value	Count	Frequency (%)
Decimal Number	5357	84.3%
Other Punctuation	995	15.7%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	371	58.6%
2	160	25.3%
0	51	8.1%
9	51	8.1%

Value	Count	Frequency (%)
3	1906	35.6%
2	1005	18.8%
0	469	8.8%
9	448	8.4%
1	278	5.2%
8	278	5.2%
6	256	4.8%
5	245	4.6%
7	238	4.4%
4	234	4.4%

Other Punctuation

Value	Count	Frequency (%)
.	211	100.0%

Value	Count	Frequency (%)
.	995	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	844	100.0%

Value	Count	Frequency (%)
Common	6352	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	371	44.0%
.	211	25.0%
2	160	19.0%
0	51	6.0%
9	51	6.0%

Value	Count	Frequency (%)
3	1906	30.0%
2	1005	15.8%
.	995	15.7%
0	469	7.4%
9	448	7.1%
1	278	4.4%
8	278	4.4%
6	256	4.0%
5	245	3.9%
7	238	3.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	844	100.0%

Value	Count	Frequency (%)
ASCII	6352	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	371	44.0%
.	211	25.0%
2	160	19.0%
0	51	6.0%
9	51	6.0%

Value	Count	Frequency (%)
3	1906	30.0%
2	1005	15.8%
.	995	15.7%
0	469	7.4%
9	448	7.1%
1	278	4.4%
8	278	4.4%
6	256	4.0%
5	245	3.9%
7	238	3.7%

ink _density
Categorical

	Original Dataset	Oversampled Dataset
Distinct	2	74
Distinct (%)	0.9%	7.4%
Missing	0	0
Missing (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

1614	160
1517	51

1614	635
1517	194
1613	13
1612	12
1611	9
Other values (69)	132

Length

	Original Dataset	Oversampled Dataset
Max length	4	4
Median length	4	4
Mean length	4	4
Min length	4	4

Characters and Unicode

	Original Dataset	Oversampled Dataset
Total characters	844	3980
Distinct characters	5	10
Distinct categories	1	1 ?
Distinct scripts	1	1 ?
Distinct blocks	1	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

	Original Dataset	Oversampled Dataset
Unique	0	36 ?
Unique (%)	0.0%	3.6%

Sample

	Original Dataset	Oversampled Dataset
1st row	1517	1614
2nd row	1517	1614
3rd row	1517	1614
4th row	1517	1614
5th row	1517	1614

Common Values

Value	Count	Frequency (%)
1614	160	75.8%
1517	51	24.2%

Value	Count	Frequency (%)
1614	635	63.8%
1517	194	19.5%
1613	13	1.3%
1612	12	1.2%
1611	9	0.9%
1518	7	0.7%
1615	6	0.6%
1609	5	0.5%
1616	5	0.5%
1519	4	0.4%
Other values (64)	105	10.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Original Dataset

Oversampled Dataset

Number of variable categories passes threshold (config.plot.cat_freq.max_unique)

Value	Count	Frequency (%)
1614	160	75.8%
1517	51	24.2%

Value	Count	Frequency (%)
1614	635	63.8%
1517	194	19.5%
1613	13	1.3%
1612	12	1.2%
1611	9	0.9%
1518	7	0.7%
1615	6	0.6%
1609	5	0.5%
1616	5	0.5%
1519	4	0.4%
Other values (64)	105	10.6%

Most occurring characters

Value	Count	Frequency (%)
1	422	50.0%
6	160	19.0%
4	160	19.0%
5	51	6.0%
7	51	6.0%

Value	Count	Frequency (%)
1	1920	48.2%
6	730	18.3%
4	649	16.3%
5	310	7.8%
7	211	5.3%
2	36	0.9%
8	34	0.9%
3	32	0.8%
0	29	0.7%
9	29	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	844	100.0%

Value	Count	Frequency (%)
Decimal Number	3980	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	422	50.0%
6	160	19.0%
4	160	19.0%
5	51	6.0%
7	51	6.0%

Value	Count	Frequency (%)
1	1920	48.2%
6	730	18.3%
4	649	16.3%
5	310	7.8%
7	211	5.3%
2	36	0.9%
8	34	0.9%
3	32	0.8%
0	29	0.7%
9	29	0.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	844	100.0%

Value	Count	Frequency (%)
Common	3980	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	422	50.0%
6	160	19.0%
4	160	19.0%
5	51	6.0%
7	51	6.0%

Value	Count	Frequency (%)
1	1920	48.2%
6	730	18.3%
4	649	16.3%
5	310	7.8%
7	211	5.3%
2	36	0.9%
8	34	0.9%
3	32	0.8%
0	29	0.7%
9	29	0.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	844	100.0%

Value	Count	Frequency (%)
ASCII	3980	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	422	50.0%
6	160	19.0%
4	160	19.0%
5	51	6.0%
7	51	6.0%

Value	Count	Frequency (%)
1	1920	48.2%
6	730	18.3%
4	649	16.3%
5	310	7.8%
7	211	5.3%
2	36	0.9%
8	34	0.9%
3	32	0.8%
0	29	0.7%
9	29	0.7%

line_width
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	109	170
Distinct (%)	51.7%	17.1%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	231.06635	252.87839

	Original Dataset	Oversampled Dataset
Minimum	112	112
Maximum	391	457
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	112	112
5-th percentile	179.5	183
Q1	196	212
median	224	253
Q3	260	293
95-th percentile	305.5	322.3
Maximum	391	457
Range	279	345
Interquartile range (IQR)	64	81

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	43.180632	48.828389
Coefficient of variation (CV)	0.18687547	0.1930904
Kurtosis	0.32551001	-0.19361054
Mean	231.06635	252.87839
Median Absolute Deviation (MAD)	31	41
Skewness	0.53350426	0.22424905
Sum	48755	251614
Variance	1864.567	2384.2116
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
191	6	2.8%
189	4	1.9%
183	4	1.9%
238	4	1.9%
207	4	1.9%
203	4	1.9%
224	4	1.9%
194	4	1.9%
193	4	1.9%
232	4	1.9%
Other values (99)	169	80.1%

Value	Count	Frequency (%)
303	27	2.7%
288	24	2.4%
191	17	1.7%
232	17	1.7%
245	16	1.6%
238	15	1.5%
298	14	1.4%
224	14	1.4%
287	14	1.4%
259	14	1.4%
Other values (160)	823	82.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
112	1	0.5%
123	1	0.5%
142	1	0.5%
163	1	0.5%
167	1	0.5%
176	1	0.5%
177	1	0.5%
178	1	0.5%
179	3	1.4%
180	2	0.9%

Value	Count	Frequency (%)
112	1	0.1%
123	3	0.3%
142	3	0.3%
163	3	0.3%
167	3	0.3%
176	3	0.3%
177	3	0.3%
178	3	0.3%
179	7	0.7%
180	6	0.6%

Value	Count	Frequency (%)
112	1	0.5%
123	3	1.4%
142	3	1.4%
163	3	1.4%
167	3	1.4%
176	3	1.4%
177	3	1.4%
178	3	1.4%
179	7	3.3%
180	6	2.8%

Value	Count	Frequency (%)
112	1	0.1%
123	1	0.1%
142	1	0.1%
163	1	0.1%
167	1	0.1%
176	1	0.1%
177	1	0.1%
178	1	0.1%
179	3	0.3%
180	2	0.2%

overspray
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	140	351
Distinct (%)	66.4%	35.3%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	248.99526	399.72462

	Original Dataset	Oversampled Dataset
Minimum	0	0
Maximum	4762	4812
Zeros	8	25
Zeros (%)	3.8%	2.5%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	0	0
5-th percentile	1.5	3
Q1	23.5	38.5
median	79	121
Q3	227.5	333.5
95-th percentile	1029	1710.5
Maximum	4762	4812
Range	4762	4812
Interquartile range (IQR)	204	295

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	563.70434	816.9087
Coefficient of variation (CV)	2.263916	2.0436787
Kurtosis	32.599365	14.450975
Mean	248.99526	399.72462
Median Absolute Deviation (MAD)	71	102
Skewness	5.2091358	3.7336719
Sum	52538	397726
Variance	317762.59	667339.83
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	8	3.8%
10	5	2.4%
91	5	2.4%
3	5	2.4%
220	4	1.9%
7	4	1.9%
32	4	1.9%
47	4	1.9%
24	3	1.4%
5	3	1.4%
Other values (130)	166	78.7%

Value	Count	Frequency (%)
0	25	2.5%
10	15	1.5%
32	13	1.3%
47	13	1.3%
201	13	1.3%
7	12	1.2%
3	11	1.1%
91	11	1.1%
107	10	1.0%
220	10	1.0%
Other values (341)	862	86.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	8	3.8%
1	3	1.4%
2	3	1.4%
3	5	2.4%
4	1	0.5%
5	3	1.4%
6	1	0.5%
7	4	1.9%
8	2	0.9%
9	1	0.5%

Value	Count	Frequency (%)
0	25	2.5%
1	9	0.9%
2	7	0.7%
3	11	1.1%
4	2	0.2%
5	8	0.8%
6	3	0.3%
7	12	1.2%
8	6	0.6%
9	5	0.5%

Value	Count	Frequency (%)
0	25	11.8%
1	9	4.3%
2	7	3.3%
3	11	5.2%
4	2	0.9%
5	8	3.8%
6	3	1.4%
7	12	5.7%
8	6	2.8%
9	5	2.4%

Value	Count	Frequency (%)
0	8	0.8%
1	3	0.3%
2	3	0.3%
3	5	0.5%
4	1	0.1%
5	3	0.3%
6	1	0.1%
7	4	0.4%
8	2	0.2%
9	1	0.1%

roughness
Real number (ℝ)

	Original Dataset	Oversampled Dataset
Distinct	99	133
Distinct (%)	46.9%	13.4%
Missing	0	0
Missing (%)	0.0%	0.0%
Infinite	0	0
Infinite (%)	0.0%	0.0%
Mean	99.218009	114.16784

	Original Dataset	Oversampled Dataset
Minimum	43	43
Maximum	192	228
Zeros	0	0
Zeros (%)	0.0%	0.0%
Negative	0	0
Negative (%)	0.0%	0.0%
Memory size	11.4 KiB	15.5 KiB

Quantile statistics

	Original Dataset	Oversampled Dataset
Minimum	43	43
5-th percentile	58.5	63
Q1	75	84
median	93	116
Q3	120	144
95-th percentile	152.5	167
Maximum	192	228
Range	149	185
Interquartile range (IQR)	45	60

Descriptive statistics

	Original Dataset	Oversampled Dataset
Standard deviation	30.910005	35.17643
Coefficient of variation (CV)	0.31153624	0.30811155
Kurtosis	-0.12808744	-0.67833078
Mean	99.218009	114.16784
Median Absolute Deviation (MAD)	21	30
Skewness	0.63491566	0.13863537
Sum	20935	113597
Variance	955.42844	1237.3813
Monotonicity	Not monotonic	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
68	8	3.8%
77	8	3.8%
84	7	3.3%
73	6	2.8%
99	6	2.8%
75	5	2.4%
85	5	2.4%
108	5	2.4%
72	5	2.4%
91	4	1.9%
Other values (89)	152	72.0%

Value	Count	Frequency (%)
142	23	2.3%
68	21	2.1%
77	21	2.1%
99	20	2.0%
84	20	2.0%
145	18	1.8%
152	18	1.8%
131	17	1.7%
144	17	1.7%
147	17	1.7%
Other values (123)	803	80.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
43	1	0.5%
44	1	0.5%
45	1	0.5%
48	2	0.9%
49	2	0.9%
54	1	0.5%
57	1	0.5%
58	2	0.9%
59	1	0.5%
60	1	0.5%

Value	Count	Frequency (%)
43	3	0.3%
44	4	0.4%
45	4	0.4%
47	1	0.1%
48	4	0.4%
49	5	0.5%
52	1	0.1%
54	3	0.3%
56	1	0.1%
57	2	0.2%

Value	Count	Frequency (%)
43	3	1.4%
44	4	1.9%
45	4	1.9%
47	1	0.5%
48	4	1.9%
49	5	2.4%
52	1	0.5%
54	3	1.4%
56	1	0.5%
57	2	0.9%

Value	Count	Frequency (%)
43	1	0.1%
44	1	0.1%
45	1	0.1%
48	2	0.2%
49	2	0.2%
54	1	0.1%
57	1	0.1%
58	2	0.2%
59	1	0.1%
60	1	0.1%

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Auto

Heatmap
Table

	time	velocity	line_width	overspray	roughness	distance	ink_visco_cp	surface_tension_dyne_cm	ink _density
time	1.000	-0.011	-0.030	-0.057	-0.112	0.691	0.247	0.247	0.247
velocity	-0.011	1.000	0.275	0.148	0.106	0.500	0.275	0.275	0.275
line_width	-0.030	0.275	1.000	0.308	0.610	0.000	0.000	0.000	0.000
overspray	-0.057	0.148	0.308	1.000	0.238	0.000	0.000	0.000	0.000
roughness	-0.112	0.106	0.610	0.238	1.000	0.163	0.197	0.197	0.197
distance	0.691	0.500	0.000	0.000	0.163	1.000	0.149	0.149	0.149
ink_visco_cp	0.247	0.275	0.000	0.000	0.197	0.149	1.000	0.987	0.987
surface_tension_dyne_cm	0.247	0.275	0.000	0.000	0.197	0.149	0.987	1.000	0.987
ink _density	0.247	0.275	0.000	0.000	0.197	0.149	0.987	0.987	1.000

Count
Matrix

Original Dataset

A simple visualization of nullity by column.

Oversampled Dataset

A simple visualization of nullity by column.

Original Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Oversampled Dataset

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
0	270	34.0	7.941	6.3	30.9	1517	294	12	164
1	270	34.0	7.941	6.3	30.9	1517	261	136	141
2	300	38.0	7.895	6.3	30.9	1517	218	11	103
3	300	44.0	6.818	6.3	30.9	1517	190	15	68
4	300	41.0	7.317	6.3	30.9	1517	190	91	90
5	300	40.0	7.500	6.9	32.3	1614	180	0	62
6	300	38.0	7.895	6.9	32.3	1614	178	80	82
7	300	43.0	6.977	6.3	30.9	1517	185	24	145
8	300	43.0	6.977	6.3	30.9	1517	213	50	161
9	300	34.0	8.824	6.3	30.9	1517	323	8	171

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
0	900	88.403242	10.383172	6.9	32.3	1614	287	71	118
1	900	87.533086	10.557282	6.9	32.3	1614	287	106	91
2	900	103.376495	8.792314	6.9	32.3	1614	290	120	134
3	900	68.476288	13.540641	6.9	32.3	1614	290	106	120
4	900	85.070154	11.282972	6.9	32.3	1614	294	104	133
5	900	98.224942	9.195621	6.9	32.3	1614	295	82	131
6	900	88.437370	10.243070	6.9	32.3	1614	288	59	111
7	900	85.047015	10.663700	6.9	32.3	1614	288	54	106
8	900	88.582122	10.225111	6.9	32.3	1614	288	61	121
9	900	80.546014	11.590229	6.9	32.3	1614	287	81	118

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
201	900	108.0	8.333333	6.9	32.3	1614	212	282	72
202	900	93.0	9.677419	6.9	32.3	1614	323	47	157
203	900	93.0	9.677419	6.9	32.3	1614	305	201	108
204	900	94.0	9.574468	6.9	32.3	1614	288	107	85
205	900	95.0	9.473684	6.9	32.3	1614	290	24	115
206	900	96.0	9.375000	6.9	32.3	1614	262	17	94
207	900	96.0	9.375000	6.9	32.3	1614	241	15	86
208	900	96.0	9.375000	6.9	32.3	1614	191	77	87
209	900	108.0	8.333333	6.9	32.3	1614	188	1	73
210	900	107.0	8.411215	6.9	32.3	1614	203	5	45

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness
199	900	107.0	8.411215	6.9	32.3	1614	204	5	73
200	900	108.0	8.333333	6.9	32.3	1614	191	81	99
201	900	108.0	8.333333	6.9	32.3	1614	212	282	72
202	900	93.0	9.677419	6.9	32.3	1614	323	47	157
203	900	93.0	9.677419	6.9	32.3	1614	305	201	108
205	900	95.0	9.473684	6.9	32.3	1614	290	24	115
206	900	96.0	9.375000	6.9	32.3	1614	262	17	94
208	900	96.0	9.375000	6.9	32.3	1614	191	77	87
209	900	108.0	8.333333	6.9	32.3	1614	188	1	73
210	900	107.0	8.411215	6.9	32.3	1614	203	5	45

Original Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness	# duplicates
Dataset does not contain duplicate rows.

Oversampled Dataset

	distance	time	velocity	ink_visco_cp	surface_tension_dyne_cm	ink _density	line_width	overspray	roughness	# duplicates
2	300	31.0	9.677	6.3	30.9	1517	218	187	117	3
4	300	32.0	9.375	6.3	30.9	1517	306	102	145	3
5	300	32.0	9.375	6.9	32.3	1614	183	107	84	3
6	300	32.0	9.375	6.9	32.3	1614	224	215	128	3
8	300	34.0	8.824	6.3	30.9	1517	226	27	95	3
9	300	34.0	8.824	6.3	30.9	1517	323	8	171	3
10	300	34.0	8.824	6.9	32.3	1614	219	213	185	3
11	300	35.0	8.571	6.9	32.3	1614	232	168	99	3
12	300	36.0	8.333	6.9	32.3	1614	142	27	76	3
14	300	37.0	8.108	6.9	32.3	1614	274	283	149	3

Overview

Variables

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Original Dataset

Oversampled Dataset

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset

Oversampled Dataset

Original Dataset